\(\diamond \)Meta Learning:
Meta-learning has three main promises to classify objects and images. One of which is zero shot-learning [1]}, in which we learn from seen classes to predict unseen classes. Meta-sense [2]}, image recognition [3]}, and human motion recognition [4]} are a few examples to present the process of generating a projection function from a vector space to a semantic space. These research studies are inspired by semantic auto-encoder (SAE) [5]}.
